Problem 3: Scale Features Before Applying KNN

Problem Description

Write a Python program that scales two features with very different ranges using StandardScaler, then trains a KNN classifier on the scaled data.

Input

A dataset with two features of very different scales, and labels.

Output

The trained model's prediction for a new, appropriately scaled data point.

Constraints

• None specific.

Example Input

text
X=[[1,50000],[2,55000],[9,150000],[10,160000]], y=[0,0,1,1], new=[[5,100000]]

Example Output

text
Prediction: [1] (or [0], depending on exact scaling — the key requirement is that scaling was applied consistently)

Concepts Covered

StandardScaler, KNeighborsClassifier, consistent scaling of new data.